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Evelina Gabasova

Evelina is a machine learning researcher working in bioinformatics, trying to reverse-engineer cancer at University of Cambridge. When not at work, she likes to play with fun datasets to extract interesting insights.

Evelina is a big fan of F# and uses it frequently for data manipulation and exploratory analysis in her research. Outside of academia, she also speaks at developer conferences and user groups about using F# for data science. She writes a blog at http://www.evelinag.com.

I'm speaking at...

Two days in London

Interested in finding out how to productively use the power of F# to solve real-world software engineering problems? Curious about running F# on .NET Core, compiling it to Javascript, deploying F# actors with Akka.NET on Docker, creating cross-platform Xamarin apps, and much, much more? Then come...

Talks I've Given

When you’re stuck while programming - who you gonna call? StackOverflow! It’s an invaluable source of daily help to many. Interestingly, you can also download the entire data dump of StackOverflow and let machine learning loose on the dataset. In this talk, you will discover what you can learn...

This year has seen a boom in chatbots, they are appearing everywhere online. In this tutorial, we'll look at how to build one from scratch. You'll see what are the necessary parts of any chatbot and how do they integrate with each other - from processing user input to deployment....

Have you seen many conference talks explaining machine learning algorithms? But are still unsure how can you use them in the real world? In this talk Evelina will show how she used machine learning methods to improve the user experience in a .NET web application.

Let's dive together into the the world of Star Wars! This talk will use the force of F# to process publicly available datasets relating to the Star Wars movies to find out who's the most important character in the stories and why were the prequels so unsuccessful. On the way, you'll...

Machine learning and functional programming are two exciting programming trends of the recent years. To a newcomer, both of these may sound very complicated. If you attend this workshop, you'll see that this could not be further from the truth. We will look at solving real-world machine...

Data science and machine learning are rapidly growing fields that focus on extracting insights from data. But what actually hides behind the buzz words? In this talk I'll use data science tools in F# to analyse live information from social media. You'll see how F# simplifies data...

Data science is emerging as a hot topic across many areas both in industry and academia. In my research, I'm using machine learning methods to build mathematical models for cancer cell behaviours. But using today's data science tools is hard, we waste a lot of time figuring out what...

Online social media connect us all. How can we use the information that is hidden in our social networks? For example, do you know who is your most influential follower on Twitter? Join Evelina Gabasova as we explore these questions with F#.